Connect with us

Finance

AI AND HOW IT’S LEADING THE FIGHT AGAINST FRAUD IN THE FINANCIAL SECTOR

Published

on

Geoff Clark, Managing Director, Aerospike EMEA

Much like many other sectors financial institutions have accelerated their digital transformation projects since the beginning of the pandemic. Lockdown meant that customers could no longer visit local branches or meet in person with their financial advisor. Financial institutions have no choice but to find alternative ways to serve their customers.

We saw banks quickly adapt and improve their automation tools to interact with their customers online.  Technologies that enable chatbots, credit card brokerage, contactless payment cards, digital verification for onboarding, online insurance applications, mobile apps, recommendation engines, robo-investing and robotic process automation (RPA) were just some of the many solutions deployed. Here in Europe, Ernst and Young (E&Y) reported an increase of 72% increase in the use of FinTech apps since the start of COVID-19.

Geoff Clark

Cybercriminals typically opt for the lowest hanging fruit and as financial institutions clambered to expand their digital services the cybercriminals looked to identify and exploit any weakness in the infrastructure providing the backbone for these technologies. Exploiting the vulnerabilities of financial institutions is not new as they have long been a coveted target for fraudsters. In the main, that’s due to the wealth of sensitive personal and financial information they hold. Throw into the mix pandemic relief funds, increased unemployment benefits, and stimulus payments, and you have the perfect playground for fraudsters.

A recent report found that every dollar lost to fraud costs financial service companies as much as $3.78 — an increase from $3.25 in 2019. But fraud’s impact is much deeper than financial loss. It drains company resources to investigate and prosecute fraud, damages reputations, and puts customer retention at risk. For these reasons alone, it is imperative that the appropriate systems and processes are in place to combat fraud.

 

Analysing Fraud

The majority of financial institutions still rely on dated rule-based systems to mitigate fraud risk. These systems can consist of thousands of predefined rules that store, sort, and manipulate data to find fraud patterns. For example, a rule could say, if there is a credit card transaction in one state and another transaction in a different state within a 30-minute time frame, then this is likely a fraudulent transaction and therefore it declines the transaction.

Rule-based systems are static, hard-coded, and time-consuming to update, and are often one step behind the sophisticated techniques fraudsters use. When fraud occurs, the typical response is to create another rule that prevents another attack, but it’s often too late.

Fraudsters continue to find new ways to commit fraud that rules don’t capture.

The trend we’re seeing from financial institutions is to replace rule-based systems with AI and machine learning-based systems as they’re more effective. These systems are largely self-learning and there is so much more data available and the more information they’re fed the more effective they can be. Rather than using tens of data attributes with rule-based systems, AI and machine learning-based systems can analyse hundreds of data attributes over enormous data sets and longer time frames to automatically detect with higher accuracy unusual behaviours that indicate fraud. For example, Barclays Bank has implemented AI systems to detect and mitigate fraud improving the customer experience in the process through the reduction of false positives and false negatives.

AI and machine learning-based systems are heading toward explainable AI (XAI), an emerging sector in machine learning that addresses how AI systems arrive at their black-box decisions. Financial institutions know the inputs and outputs of these systems, but they lack visibility into how they reached the results.

Building XAI into AI systems enables banks to understand how decisions are made and create better models to improve their systems by removing bias. For example, suppose a fraud system declines a legitimate customer’s credit card transaction. In this situation the financial institution needs to understand why the false positive has occurred so it can further refine its model.

XAI also has data privacy in its favour particularly when it comes to compliance. Under the European Union’s General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA)—and with other data privacy laws coming—financial institutions need to comply with specific mandates. They must be able to explain how they use a customer’s personal information and how they came to decision such as declining a credit card transaction. Overlaying XAI on top of their AI systems, ensures they have far great visibility into how decisions are being made by AI/ML systems.

 

Constructing a Fraud System Architecture

To emulate some of the industry’s more innovative organisations financial institutions must understand and pursue best practices when building their AI-based fraud systems. They should work alongside technology organisations but also work with their line of business managers to understand how fraud is impacting their business, what their greatest weaknesses are, how customer satisfaction can be improved, and how they can incorporate customer fraud/risk metrics into their customer analytics to improve their omnichannel marketing campaigns. Customer data collected and analysed by fraud teams are some of the most robust depositories of customer information making them invaluable to marketers.

When looking to build a world-class system, financial services firms should consider the following steps:

  • The fraud system needs to likely consume hundreds of terabytes of data, perhaps even petabytes for the largest firms.
  • Data must be continuously updated in real time from many sources such as internal customer and transaction data from storefronts, web pages, and mobile devices, as well as third-party demographic, behavioural, geo-location, identity management, credit bureau, and other data types.
  • This data will usually need to be prepared, e.g., cleansed, standardised, and normalised, to convert it into a form that AI/ML models can more easily digest and understand.
  • The data needs to move back to the central data platform to be further enriched.
  • At this point those financial institutions can fine-tune the model parameters, test and select the optimal machine learning algorithms, feed them with data to learn the underlying patterns, and validate the model’s accuracy to make good decisions using data that was not part of the training set.

After the above steps are completed and they are satisfied the model can be deployed to act in the microsecond moments that are necessary to fight fraud.

As technology evolves at such a fast pace all organisations must aim to implement a fraud solution that can combat the increasingly sophisticated fraudsters while implementing the following key elements

  1. Large data sets (TeraBytes, PetaBytes) consisting of both internal company data supplemented with third-party data;
  2. Highly optimised and validated AI/ML algorithms that detect fraud and minimise false positives and false negatives;
  3. A real-time data platform capable of running these AI/ML algorithms across enormous data sets in sub-millisecond response times to provide customers with the fast customer experience that they expect.

 

 

 

Business

THE EVOLVING TECHNOLOGY NEEDS OF THE FINANCE DEPARTMENT

Published

on

By

THE EVOLVING TECHNOLOGY NEEDS OF THE FINANCE DEPARTMENT

Jennifer Sims, Senior Consultant at Xledger

 

The world of finance software is evolving quickly, but with many new software contenders entering the market it can be a mindfield for organisations. Many finance teams are already using multiple accounting apps and software packages for bookkeeping, payroll and invoicing to service individual needs. Whilst it may work fine for now, this segregated approach isn’t sustainable for long-term growth. The world is swiftly moving to agile, automated ways of working. As a result, there is a growing need to choose suppliers that can fulfil multiple functionalities within the one platform.

Financial software is evolving at such a pace that it can be difficult to keep up. Changing up a finance solution is a big step and ease of migration can be a substantial factor in determining which solution provider to go with. But how do you choose a solution that will grow with your business and still offer something innovative in five or ten years down the line? The fear is always that non-techie organisations will end up falling behind, but in such a highly concentrated industry, how do you decide which solution would work best for you?

 

Cloud-first: the term that makes all the difference 

You could find a ‘cloud-based’ service with an application that comes with automated audit trails to make it easier to meet compliance and record-keeping obligations, for example. But for a solution to offer all of the many future benefits promised by the cloud, it needs to have been built specifically for a cloud environemt from the outset – ie. not an on-premise built system that has been later adapted. Cloud-first services (true cloud) were always intended to leverage economies of scale, cope with live updates, be accessible from anywhere with an internet connection, and to scale rapidly, to name just a few of the many benefits.

When we talk about innovation in financial technology, we’re not just talking about software that makes it easier for the financial controller to create reports. If eliminating reliance on Excel spreadsheets is the only tangible benefit you have to really shout about, you are missing out on the real deal. With ‘true’ cloud finance software the sky is the limit.

Finance and accounting technology needs to directly meet the needs of the finance function and support the wider business needs.  When looking at accounting software platforms you’d be hard pressed to find one that doesn’t now promise ‘cloud-based’ enterprise resource planning (ERP) capabilities. The cloud is nothing new, but it’s the way that a solution harnesses this environment that makes a real difference. And here is where there is a need to read between the lines.

 

Automate more with true cloud 

Historically, repetitive and manual tasks are typical of the finance role – from invoice postings to expense claims handling – these can overwhelm the finance team. Research by Xledger[1] has found that an enormous 91% of CFOs and finance decision makers are carrying out at least one of these repetitive tasks as part of their job. What’s more, senior finance leads are averaging a whopping 25 hours per week carrying out repetitive and manual tasks, compared with 15 hours for other finance decision makers.

A modern, true cloud finance system can enable your business to automate repetitive tasks and provide one source of truth so that teams can make informed business decisions that will help to scale a business. Bank reconciliation, dashboard creation and reporting are just some of the tasks that can be handled automatically.These capabilities are aiding overtasked finance teams and saving hundreds or thousands of hours a year.

Whilst different companies are at different stages in their digital transformation what is clear is keeping up with the latest technology is fundamental to the future success of an organisation.

Xledger is a true cloud finance solution. The basics include invoicing, robust general ledger accounting, detailed slice and dice reporting, purchase orders, billing, VAT reporting, and cash and bank payments. It also adds process and structure to the enterprise with procurement and inventory, budgeting and forecasting, and project accounting. Users are always on the latest version of the software and with regulation more stringent than ever today, Xledger is ISO 27001 accredited.

Choosing the right provider for your financial ERP solution comes down to whether it has the fundamentals right. When hosting all of your vital data in the providers’ own servers, it should evidence a highly tested security process that comes with backup services as standard.

As our demand for technology capabilities grows and as ERP models progress, innovation will become the structure for growth – and there is no end to the possibilities.

 

Continue Reading

Finance

HOW FINANCIAL ORGANIZATIONS CAN PROTECT THEIR DATA

Published

on

By

Yuval Wollman, President, CyberProof and Chief Cyber Officer, UST

 

Top executives from Wall Street’s largest banks pinpointed cybersecurity as the greatest threat to America’s financial system, at a Congressional hearing that took place in May.

The concern of financial industry leaders with cyber-attacks is neither surprising, nor new. The attraction of cybercriminals to banks and other financial institutions makes sense, given the fact that the financial sector functions as gatekeepers – not just of financial assets, but also of valuable Personally identifiable information (PII).

Threat actors are attracted to attack financial institutions to earn a profit through increasingly sophisticated attacks that range from ransomware attacks to identity theft. But while the threat continues to grow, there is much that can be done to mitigate the risks.

 

The Downsides of Digital Banking

The number of attacks on financial institutions increased sharply in the last two years due to the upheavals wrought by COVID-19, which prompted a dramatic rise in the number of online transactions.

With so much of today’s financial transactions done on both web and mobile devices, threat actors have more opportunities than ever before. Take, for example, the growing importance of Man in the Middle (MITM) Attacks, which impersonate another party online and give criminals access to personal data, passwords, and banking details.

With the widespread adoption of digital banking, consumers have become increasingly worried about cyber-attack. As a result, there’s growing demand to create better consumer protection laws that respond to the rapidly evolving technology. The U.S. Federal Trade Commission (FTC), for example, recently strengthened security safeguards for consumer financial information.

 

It’s Not “Just” About the Money

Financial organizations are at risk not just from threat actors looking for profit, but also from nation-states and hacktivists acting out of idealistic motives or as a means of achieving specific political ends.

The most famous examples of this type of attack include Russia’s 2016 attack on Ukraine’s electric grid and North Korea’s 2017 attack on Britain’s National Health Service.

Because of the extent of the damage that this type of attack could cause, NATO established cyberspace as the “fifth domain of warfare” in 2016. It developed a definition of when foreign factions are banned from attacking financial institutions, due to the fear that this type of attack could directly lead to a country’s destabilization.

 

Recognizing Risk Factors

The digital transformation of financial services helps banks and other financial institutions provide more a more convenient customer experience.

And while significant customer demand has led many banks to implement changes such as the transition from legacy to cloud-based solutions, these shifts also have the potential to create additional security risks.

For example, if we’re talking specifically about cloud migration, there’s need for additional security layers to protect organizations working with public cloud providers from the range of attacks targeting the financial sector: ransomware, account takeover, data theft and manipulation, phishing attacks, identity theft, and more.

Another example is the extensive use of third-party vendors, which has increased the risk of attack for organizations in the financial sector. Because third-party vendors enlarge the attack surface, they create more entry points to the system and make it harder to protect customer data.

 

Accelerating Detection & Response

By adopting an agile approach that supports continuous improvement, financial organizations can facilitate proactive identification of evolving threats and vulnerabilities in the wild. More specifically, by placing an emphasis on use case optimization – which starts by mapping out an organization’s threat detection gaps to a framework such as MITRE ATT&CK – enterprises can prioritize threats and invest their time and resources in mitigating risk more effectively.

For organizations transitioning to the cloud, what’s key is managing the migration process in a way that provides optimal visibility in the cloud and supports ongoing optimization at the enterprise level. Digital playbooks are a crucial tool in providing improved detection and response, creating automated or guided responses that allow faster, more effective, collaborative action.

The development and regular review of incident response plans similarly allows for efficient response in emergency situations and helps reduce the business impact of cyber-attacks.

 

Targeted Threat Intelligence

Threat intelligence that’s tailored to the financial services sector is another key component of timely detection and response. By working with expert Cyber Threat Intelligence (CTI) services, organizations can obtain up-to-date information about industry-specific threats in real time – information that is a highly valuable tool in strengthening the defense of an enterprise.

 

Cyber Hygiene

Employees make mistakes; after all, it’s only human. But these errors can lead to massive data breaches. For example, when someone clicks on a phishing email or leaves passwords for a company computer on a slip of paper that’s easily seen by the wrong person, the damage can be astronomical.

Providing regular cybersecurity training programs for employees can help minimize the risk of an accidental or careless action leading to cyber-attack. To be effective, training programs should not only explain how to spot cybersecurity risks like phishing emails but should also discuss how and where it’s safe to access company information.

Aside from employee training, there are fundamental cybersecurity-related decisions that should be implemented at the enterprise level such as Zero Trust, DevSecOps, and multi-factor authentication (MFA). From a policy perspective, for example, it’s crucial to enforce MFA for all applications. Moreover, technology-related vulnerabilities can be minimized through frequent patching and updates for systems. Audits, as well as vulnerability and penetration tests, must be conducted regularly.

 

For the Financial Sector, “Best Practices” are Key

With the growth in number and complexity of cybersecurity attacks on financial organizations and the increased risk of nation-state attacks, proactively approaching the question of cybersecurity and implementing “best practices” makes the difference in reducing the degree of risk to an enterprise.

By modernizing the SOC with a carefully navigated migration to the cloud, adopting continuous improvement of use cases and the development of digital playbooks that improve detection and response – as well as by leveraging targeted threat intelligence and maintaining strong cyber hygiene – enterprises can put themselves in a stronger position to minimize the potential business impact of a cyber-attack on their organizations.

 

Continue Reading

Magazine

Trending

SET YOUR BUSINESS UP FOR SALES SUCCESS IN A POST-PANDEMIC WORLD SET YOUR BUSINESS UP FOR SALES SUCCESS IN A POST-PANDEMIC WORLD
Business2 days ago

SET YOUR BUSINESS UP FOR SALES SUCCESS IN A POST-PANDEMIC WORLD

Dean Fiveash, Head of FinTech Sales, IFX Without doubt the Coronavirus pandemic impacted every aspect of our lives and fundamentally...

THE EVOLVING TECHNOLOGY NEEDS OF THE FINANCE DEPARTMENT THE EVOLVING TECHNOLOGY NEEDS OF THE FINANCE DEPARTMENT
Business2 days ago

THE EVOLVING TECHNOLOGY NEEDS OF THE FINANCE DEPARTMENT

Jennifer Sims, Senior Consultant at Xledger   The world of finance software is evolving quickly, but with many new software...

HOW RETURNS ABUSE AFFECTS RETAILERS HOW RETURNS ABUSE AFFECTS RETAILERS
Business2 days ago

HOW RETURNS ABUSE AFFECTS RETAILERS

By Aaron Begner, EMEA GM at Forter   Accompanying the significant growth in ecommerce over the past 12 months, is the...

TINTRA PLC FINALISES JOINT VENTURE WITH ARTIFICIAL INTELLIGENCE PARTNER TINTRA PLC FINALISES JOINT VENTURE WITH ARTIFICIAL INTELLIGENCE PARTNER
News2 days ago

TINTRA PLC FINALISES JOINT VENTURE WITH ARTIFICIAL INTELLIGENCE PARTNER TO BUILD INDUSTRY CHANGING REGULATORY TECHNOLOGY

Innovative fintech company, Tintra PLC(https://tintra.com/), has formed a joint venture with award-winning Artificial Intelligence and Machine Learning business, TMC2, via...

CELLPOINT DIGITAL PARTNERS WITH VYNE TO ENABLE INSTANT OPEN BANKING PAYMENTS FOR MERCHANTS CELLPOINT DIGITAL PARTNERS WITH VYNE TO ENABLE INSTANT OPEN BANKING PAYMENTS FOR MERCHANTS
News2 days ago

CELLPOINT DIGITAL PARTNERS WITH VYNE TO ENABLE INSTANT OPEN BANKING PAYMENTS FOR MERCHANTS

The partnership will allow CellPoint Digital customers to incorporate Vyne into its payment ecosystem and access instant payments without a...

WHY A MULTI-ACQUIRER STRATEGY IS KEY TO GLOBAL GROWTH WHY A MULTI-ACQUIRER STRATEGY IS KEY TO GLOBAL GROWTH
Business5 days ago

WHY A MULTI-ACQUIRER STRATEGY IS KEY TO GLOBAL GROWTH

As online business grows exponentially, finally fulfilling the internet’s promise of a ‘global village’ in which anyone can buy and...

Business5 days ago

TAKE THE NO-CODE LEAP TO DIGITAL INNOVATION WITH A FUSION TEAM

Chris Obdam, CEO, Betty Blocks   In the last couple of years, a new sector has emerged alongside enterprise financial...

Finance5 days ago

HOW FINANCIAL ORGANIZATIONS CAN PROTECT THEIR DATA

Yuval Wollman, President, CyberProof and Chief Cyber Officer, UST   Top executives from Wall Street’s largest banks pinpointed cybersecurity as the...

Top 105 days ago

IF IT’S A LOSS, YOU’RE TOO LATE – WHY THE INSURANCE INDUSTRY NEEDS TO FOCUS ON FIRST NOTIFICATION OF RISK

Simon Dicks, Insurance Channel Manager EMEA, Lytx   Insuring commercial fleets can be an expensive business. Average repair costs have...

Business5 days ago

IDENTITY SECURITY IN THE ERA OF SOX

By Steve Bradford, Senior Vice President, EMEA, SailPoint   The Sarbanes-Oxley Act (SOX) is a federal law that mandates practices...

News5 days ago

EXPERIAN LAUNCHES VERIFICATION SERVICE TO SUPPORT FASTER, MORE ACCURATE LENDING DECISIONS

Work Report™ is the UK’s first service that automates the digital sharing of payroll information on behalf of the consumer...

News6 days ago

TENUREX AND ELUCIDATE PARTNER TO INCREASE FINANCIAL INCLUSION WORLDWIDE

TenureX and Elucidate have announced a strategic partnership with a mission to increase financial inclusion worldwide and tackle the laborious...

Banking6 days ago

WHY THE TIME IS NOW TO BANK BEYOND BORDERS

by Lili Metodieva, MD of Monneo   As our world becomes more interconnected, so too does the need for banking...

News6 days ago

PAYCAST PARTNERS WITH MARQETA AND MASTERCARD FOR NEW MARKETPLACE PAYMENT SOLUTION

Paycast will leverage Marqeta’s modern card issuing platform and the Mastercard network to empower marketplaces with payment solutions that help...

Finance1 week ago

HOW FS ORGANISATIONS CAN USE API-DRIVEN DATA AUTOMATION TO JOIN THE OPEN BANKING REVOLUTION

By Steve Barrett, Senior Vice President, International Operations at Delphix    Technology is rapidly transforming all industries across the world. However, for the...

Banking1 week ago

IT’S TIME FOR BANKS TO SIT THEIR CUSTOMERS DOWN AND TALK OPEN BANKING

Eugene Danilkis, CEO at Mambu   We are living in an experience economy, and banking is no different. Customers need...

Banking1 week ago

WILL CHALLENGER OR TRADITIONAL BANKS WIN THE SECURE CARD PAYMENTS BATTLE?

By Vince Graziani, CEO, IDEX Biometrics ASA   Challenger banks have shaken up the payment ecosystem in the last decade....

Banking1 week ago

TOP ITALIAN BANK ROLLS OUT FIRST OF ITS FULLY DIGITAL BRANCHES WITH AURIGA

Banca Carige Smart, the new intelligent branch model enabled by Auriga #NextGenBranch solutions , combines digitalisation with a human touch...

Banking1 week ago

HOW BANKS CAN PROTECT THEMSELVES AGAINST RANSOMWARE

Jay Ralph, Managed Cloud Global Sales Lead at SoftwareONE   We’ve seen a slew of high-profile ransomware attacks in 2021. From hackers...

News1 week ago

BLOCKERS TO BLOCKCHAIN ADOPTION LIFT FOR 65% OF FINANCIAL ORGANISATIONS

Four years of data from Visma | Onguard’s Fintech Barometer finds growing confidence in blockchain technology   65% of organisations...

Trending